Overview Global Predictive Forecasting” which is a multi-year project to build a state-of-the-art Finance Solution that is on the cutting edge using the latest and greatest technologies. The Predictive Forecasting solution will be deployed to multiple sectors / BUs across the Globe This is a new a role which will be supporting FP&A Global Predictive program and part of AOP 2025. Earlier this managed by joint program between PEP & Microsoft and now MSFT resources are moving due to end of contract. Data Analyst will be responsible to partner closely with business and IT teams in preparing final analysis reports for the stakeholders to understand the data-analysis steps, enabling them to make important decisions based on various facts and trends and lead data requirement, source analysis, data analysis, data transformation and reconciliation activities. This role will be interacting with senior stakeholders and delivery partners across S&T , FP&A, CTO and D&Ai teams. Responsibilities Ideally located in Hyderabad City), this role is the key point of contact with Europe Market Prtner with Lead Analyst for data requirement, source analysis, data analysis, data transformation and reconciliation activities. Partners business SME’s to understand & document business requirements and associated needs Performs the analysis of business data requirements and translates into a data design that satisfies local, sector and global requirements Preparing final analysis reports for the stakeholders to understand the data-analysis steps, enabling them to make important decisions based on various facts and trends. Using automated tools to extract data from primary and secondary sources. Using statistical tools to identify, analyse, and interpret patterns and trends in complex data sets could be helpful for the diagnosis and prediction. Working with engineers, and business teams to identify process improvement opportunities, propose system modifications. Proactively identifies impediments and looks for pragmatic and constructive solutions to mitigate risk. Be a champion for continuous improvement and drive efficiency. Preferable if candidate has a solid functional understanding of financial concepts (P&L, Balance Sheet, Cash Flow, Operating Expense,….) Experience modelling data & designing data flows. Qualifications Minimum 5-6 years of relevant work experience on data modelling / analytics, preferably with a finance background Minimum 3 year experience of navigating data in Azure Databricks, Synapse, Teradata or similar database technologies Ability to use SQL to analyse data for both development validation and operational support is critical Prior experience of Azure based data & analytic solutions an advantage Strong analytical skills with demonstrated ability to interpret business requirements into performant business solutions Ability to solve medium complexity problems with little to no direction from management Good communication skills with the ability to effectively communicate and collaborate with people of all levels and with diverse backgrounds Ability to operate autonomously and proactively, managing multiple deliverables at a single time in a fast-paced, results-oriented environment Knowledge of Scaled Agile Framework / Agile DevOps delivery Ability to quickly adapt in a dynamic, fast-paced, customer-focused work environment characterized by rapid change, minimal lead times, and multiple competing priorities Good knowledge and understanding of databases, data structure, data transformation & data flows.